Articles
- The kids you hire next want to design for the mess, not around it
Emerging design talent prioritizes reuse, accessibility, and disaster resilience, challenging traditional practices and urging organizations to reconsider their approach to sustainability and user collaboration.
- Apple sued OpenAI. The real lesson is sitting in your offboarding process.
The Apple lawsuit against OpenAI highlights critical gaps in offboarding processes, emphasizing the need for robust access control and documentation to protect intellectual property and prevent unauthorized access.
- Apple Just Moved Into the Rooms Your Product Lives In
Apple's iOS 27 integrates AI across user interactions, challenging apps by enabling Siri to handle tasks directly within native environments, potentially reducing app engagement and altering user behavior.
- The Companies Spending Most on AI Are Hiring, Not Firing
Companies investing heavily in AI are expanding their workforce, highlighting the importance of committing to AI adoption for business growth rather than fearing job losses.
- Your Feedback Loop Was Built for a Product That No Longer Exists
AI features disrupt traditional feedback loops by producing variable outputs, requiring product leaders to focus on user actions post-interaction to accurately assess product effectiveness and inform design decisions.
- When the Wheat Field Doesn't Sell Anymore
The merger of two major British bread brands highlights the strategic power of visual identity in revitalizing a declining market, emphasizing the need for design to articulate clear business decisions.
- The Machine Ships the Pixels. You Still Own the Call.
As AI-generated interfaces become commonplace, design leaders must focus on orchestrating outcomes and ensuring clear ownership of decisions to maintain product integrity and trust.
- The AI Vendor You Trust Is Learning Your Business
AI vendors' ability to learn from your proprietary data is reshaping product decisions, urging leaders to scrutinize data-retention clauses and consider open-source alternatives to protect business value and customer trust.
- The $4 trillion vendor problem you can't build around
The rapid valuation growth of AI vendors and fluctuating token prices necessitate flexible product strategies, as locking into long-term contracts could risk costly dependencies and limit adaptability to market changes.
- Your Supply Chain Just Became a Product Decision
Recent geopolitical shifts and supply chain dynamics are reshaping product dependencies, requiring leaders to reassess risk maps and prepare for potential disruptions in hardware, pricing, and platform alliances.
- California Got Claude at Half Price. Here's What That Deal Tells You.
California's strategic deal with Anthropic for a discounted AI chatbot highlights the importance of leveraging state purchasing power to build a marketplace, influencing procurement practices and competitive positioning for enterprise and government sales.
- Half Your Team Is Thriving on AI. The Other Half Is Scared.
Understanding the diverse reactions to AI within your team is crucial for tailoring communication and management strategies, ensuring that AI adoption aligns with employee well-being and organizational goals.
- The prediction you were about to build just got a lot cheaper
Google's new TabFM model reduces the cost of building predictions from tabular data by eliminating the need for training runs, allowing teams to focus resources on monitoring and maintaining model stability.
- The market keeps voting no. Here's what it's buying instead.
Recent shifts in market preferences highlight the importance of addressing real customer barriers rather than enhancing features, emphasizing the need for strategic alignment with regulatory and partnership dynamics.
- The best feature might be the one you left out
Emphasizing restraint in product design can enhance user trust and satisfaction by focusing on essential features, offering a calmer user experience, and providing flexible engagement options that respect users' attention and privacy.
- The screen just stopped being the point
As conversational interfaces and AI agents become more prevalent, designing systems that balance automation with human oversight and clearly communicate uncertainty is crucial for maintaining user trust and preventing costly errors.
- The Day Your Users Cost You More Than the Sale
The backlash against EA's monetization strategy highlights the risk of removing free features to push paid options, emphasizing the importance of transparent value addition in product design.
- Your users just got three new reasons to distrust your AI. Build the receipts now.
Recent revelations about AI practices highlight the urgent need for transparent data usage policies to maintain user trust, emphasizing the importance of clear, verifiable disclosures and user-friendly consent mechanisms.
- You Can See Inside the Model Now. You Still Can't Trust It.
Recent advancements in AI model interpretability reveal that while some hidden processes can now be monitored, the stability of safety measures remains fragile, necessitating continuous oversight and reevaluation.
- AI Editing Just Became a Feature, Not a Product
AI editing tools are increasingly integrated into existing apps, shifting the focus from standalone products to features that enhance user experience and retention within ecosystems.